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Want to Speak Crypto?
ATAIX glossary all you need to know.
Are you new to the cryptocurrency world and feeling a bit lost? Don't worry, you are not alone. The cryptocurrency space can be daunting for newcomers, with its many terms, abbreviations and definitions that can be difficult to understand.
ATAIX crypto glossary will help make sense of some of the most common cryptocurrency terms and definitions. Armed with this information, you'll be ready to start participating in this exciting and innovative new economy!
A
- 51% attack
- Accumulation / Distribution Indicator
- Adam Back
- Address
- Airdrop
- Algorithmic Stablecoin
- All-Time High
- Altcoin
- Altcoin Trader
- Anarcho-Capitalism
- Angel Investor
- Anonymous
- Apeing
- API
- Arbitrage
- Aroon Indicator
- ASIC-Resistant Coins
- Asset-Backed Tokens
- Atomic Swap
- Auction
- Audit
- Automated Market Maker (AMM)
- Average Directional Index (ADX)
What is a Crypto Audit?
An audit is an important process that helps to ensure the quality and security of code and algorithms before they are deployed. By conducting an audit, organizations can find and fix potential bugs or points of failure before they become a problem. Audits are usually carried out by third-party experts, which can help guarantee that the procedure is unbiased and effective.
One of the most important security practices in the blockchain space is auditing. By conducting an audit, projects can ensure the security of their smart contracts and give their users, or token holders more ease.
There are two methods to audit code: manually and automatically. While automatic code analysis is faster, manual analysis is more effective in finding coding errors. This takes more time and requires a mid-size development team to execute. However, manual code analysis is crucial for crypto projects since launching with undetected vulnerabilities could lead to millions of gone funds, particularly for DeFi projects.
A comprehensive audit of a smart contract often entails five important steps:
1. Agreeing on a specification;
2. Running tests;
3. Running automated symbolic execution tools;
4. Manual code analysis; and
5. Reporting the findings.